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NEW QUESTION: 1
Which are three testing strategies for Oracle CPQ Cloud? (Choose three.)
A. Create specific test data for accounts, opportunities, and contracts in the CRM system and use that data to perform end-to-end tests for CPQ Cloud quotes.
B. Test cases should be directly linked to business requirements.
C. Avoid using a test case tracking tool because it is time consuming to track all of the testing team's efforts.
D. Perform isolated tests as well as intra-system and cross-system integration tests.
Answer: A,C,D

NEW QUESTION: 2
Which four options are used to reconcile subledger journal entries?
A. Set up reconciliation using the reconciliation reference accounting attribute.
B. Run the Subledger Accounting Diagnostics report.
C. Run the Subledger Accounting Method Setups report.
D. Assign a descriptive text and source on journal lines.
E. Tag supporting references with journal entry lines.
F. Build a custom OTBI report.
Answer: A,D,E,F

NEW QUESTION: 3
You use Azure Machine Learning to train and register a model.
You must deploy the model into production as a real-time web service to an inference cluster named service-compute that the IT department has created in the Azure Machine Learning workspace.
Client applications consuming the deployed web service must be authenticated based on their Azure Active Directory service principal.
You need to write a script that uses the Azure Machine Learning SDK to deploy the model. The necessary modules have been imported.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: AksCompute
Example:
aks_target = AksCompute(ws,"myaks")
# If deploying to a cluster configured for dev/test, ensure that it was created with enough
# cores and memory to handle this deployment configuration. Note that memory is also used by
# things such as dependencies and AML components.
deployment_config = AksWebservice.deploy_configuration(cpu_cores = 1, memory_gb = 1) service = Model.deploy(ws, "myservice", [model], inference_config, deployment_config, aks_target) Box 2: AksWebservice Box 3: token_auth_enabled=Yes Whether or not token auth is enabled for the Webservice.
Note: A Service principal defined in Azure Active Directory (Azure AD) can act as a principal on which authentication and authorization policies can be enforced in Azure Databricks.
The Azure Active Directory Authentication Library (ADAL) can be used to programmatically get an Azure AD access token for a user.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-deploy-azure-kubernetes-service
https://docs.microsoft.com/en-us/azure/databricks/dev-tools/api/latest/aad/service-prin-aad-token

NEW QUESTION: 4
フローの詳細には含まれているが、イベントの詳細には含まれていない情報は何ですか？
A. ソース情報をログに記録する
B. 転送されたバイト数とパケット数
C. ネットワーク概要情報
D. マグニチュード情報
Answer: C